Robotic Control Using Validated Assumptions Under Uncertainty
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing robotic apparatus control methods fail to adequately manage uncertainties and risks in control situations, leading to potential accidents due to unfulfilled assumptions about the behavior of other agents or unreliable detection, which conventional safety guarantees cannot address effectively.
Innovation Solution
A method that involves detecting control situations, ascertaining and validating assumptions, restricting the set of valid assumptions, and controlling the robotic apparatus based on these validated assumptions, using probabilistic measures and degradation mechanisms to ensure safety even when assumptions are violated.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional safety guarantees are used, then formal safety can be ensured under assumed conditions, but residual risks remain when assumptions are violated
Solution Approach 1:
The patent implements continuous monitoring of assumption validity through feedback mechanisms. The system assesses whether detected control situations match the assumed conditions and adjusts behavior accordingly. This feedback loop transforms static safety guarantees into dynamic risk management, reducing residual risks by adapting to actual situation characteristics in real-time.
Solution Approach 2:
The patent transitions from static safety guarantees to dynamic risk management. The system dynamically adjusts its safety assessment based on the detected characteristics of control situations, continuously adapting its behavior selection to match actual conditions. This dynamic approach allows the system to maintain safety guarantees while adapting to varying operational contexts.
2Reliability
If the set of assumptions is restricted to valid assumptions only, then safety is improved, but the number of available behaviors is reduced
Solution Approach 1:
The patent dynamically adjusts the restriction level on assumption validity based on the specific control situation. Rather than applying a fixed restriction threshold, the system continuously assesses situation characteristics and adjusts the degree of assumption validation required. This dynamic adjustment allows the system to maintain safety while preserving adequate behavior options across different operational contexts.
Solution Approach 2:
The patent changes the parameter of assumption validity threshold based on detected situation characteristics. The system adjusts the restriction level on assumptions dynamically, modifying which assumptions are considered valid based on the specific control situation. This parameter adjustment enables the system to optimize between safety and behavior availability for different operational scenarios.
3Reliability
If continuous monitoring of assumption validity is implemented, then residual risks are reduced, but computational complexity increases
Solution Approach 1:
The patent segments the assumption monitoring process into distinct modules: detection module, assessment module, and behavior selection module. Each module handles specific aspects of assumption validation independently, making the overall complex system more manageable and maintainable. This segmentation allows continuous monitoring to be implemented systematically without overwhelming computational complexity.
Solution Approach 2:
The patent applies partial monitoring of assumption validity rather than exhaustive verification of all possible assumptions. The system focuses assessment resources on the most critical assumptions for each control situation, using plausibility and consistency tests selectively. This partial action approach reduces computational complexity while maintaining effective risk reduction for the most important safety-critical assumptions.
Data Source
AI summary
A method for controlling a robotic apparatus. The method includes: detecting a control situation, ascertaining a set of assumptions about the control situation that underlie possible behaviors in the control situation; assessing the validity of at least some of the assumptions from the set of assumptions, restricting the set of assumptions to assumptions from the set of assumptions that have been assessed as valid; ascertaining one or more behaviors of the robotic apparatus in the control situation on the basis of the restricted set of assumptions; and controlling the robotic apparatus according to one of the ascertained behaviors.